Team:Amsterdam/software/mdl2latex/

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<div id="sub= Introduction =
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= Introduction =
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[[www.stompy.sourceforge.net|StochPy]] is a versatile stochastic simulation package implemented in Python. Its inherits the easy to learn model description language [http://stompy.sourceforge.net/html/inputfile_doc.html MDL] from its parent package [http://pysces.sourceforge.net/PySCeS PySCeS], which is modelling environment with deterministic capabilities, By defining models in MDL and executing them through high-level commands in the Python or IPython shell, an easy-going experience is presented to the modeller in which one (almost) doesn&rsquo;t need to worry about implementation details.
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[[stompy.sourceforge.net|StochPy]] is a versatile stochastic simulation package implemented in Python. Its inherits the easy to learn model description language [http://stompy.sourceforge.net/html/inputfile_doc.html MDL] from its parent package [http://pysces.sourceforge.net/PySCeS PySCeS], which is modelling environment with deterministic capabilities, By defining models in MDL and executing them through high-level commands in the Python or IPython shell, an easy-going experience is presented to the modeller in which one (almost) doesn&rsquo;t need to worry about implementation details.
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[[www.github.com/slagter.maarten/MDL2LaTeX|MDL2LaTeX]] is another step towards making a modeller&rsquo;s life as carefree as possible. It does exactly what its name implies: it converts MDL files to cleean LaTeX representations, so the models can be easily integrated into reports. No more time wasted on tedious copying of equations to LaTeX!
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[https://github.com/slagtermaarten/MDL2Latex MDL2LaTeX] is another step towards making a modeller&rsquo;s life as carefree as possible. Exactly as its name implies: it converts MDL files to cleean LaTeX representations, so the models can be easily integrated into reports. No more time wasted on tedious equation copying into LaTeX!
= Installation =
= Installation =
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MLD2LaTeX has been tested in both Linux and Unix (Mac OS). For easy installation, first install [[www.github.com|git]].
MLD2LaTeX has been tested in both Linux and Unix (Mac OS). For easy installation, first install [[www.github.com|git]].
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Then run: <pre> git clone https://github.com/slagtermaarten/mdl2latex </pre>
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Then run: {<tt>git clone https://github.com/slagtermaarten/MDL2Latex.git</tt>}
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Edit the <pre>Makefile</pre>
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Edit the
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inside of this folder and change the variable INPUTFILE to the path of the .psc (MDL model) file you want to convert.  
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Save and run
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<pre>Makefile</pre>
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inside of this folder and change the path to the .psc (MDL model) file you want to convert. Save and run
<pre>make</pre>
<pre>make</pre>
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Latex output files (.tex and .pdf) will be saved in the /output folder.
 
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Revision as of 17:59, 19 September 2012

<div id="sub= Introduction =

StochPy is a versatile stochastic simulation package implemented in Python. Its inherits the easy to learn model description language [http://stompy.sourceforge.net/html/inputfile_doc.html MDL] from its parent package [http://pysces.sourceforge.net/PySCeS PySCeS], which is modelling environment with deterministic capabilities, By defining models in MDL and executing them through high-level commands in the Python or IPython shell, an easy-going experience is presented to the modeller in which one (almost) doesn’t need to worry about implementation details.

MDL2LaTeX is another step towards making a modeller’s life as carefree as possible. Exactly as its name implies: it converts MDL files to cleean LaTeX representations, so the models can be easily integrated into reports. No more time wasted on tedious equation copying into LaTeX!

Installation

MLD2LaTeX has been tested in both Linux and Unix (Mac OS). For easy installation, first install git.

Then run: {git clone https://github.com/slagtermaarten/MDL2Latex.git}

Edit the

Makefile

inside of this folder and change the path to the .psc (MDL model) file you want to convert. Save and run

make

.

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